Integrations · 26 and counting

Connect the tools you already use.

Code platforms, issue trackers, coding agents, AI models and agent tools. Connect each one once per workspace, and every agent can use it, under the same rules.

26 integrations

Code platforms

Where your repositories live. Specs sync from them and pull requests go back to them.

  • GH

    GitHub

    Code platforms

    Repositories, issues and pull requests. Install as a GitHub App in a few clicks.

    Source controlIssuesPull requestsAutomation triggers
    Trigger events (6)
    • issues.labeled
    • issue_comment.created
    • pull_request.opened
    • pull_request_review.submitted
    • push
    • check_suite.completed
    Setup guide
  • GL

    GitLab

    Code platforms

    Projects, issues and merge requests, on gitlab.com or your self-managed instance.

    Source controlIssuesMerge requestsAutomation triggers
    Trigger events (5)
    • issue.open
    • issue.update
    • merge_request.open
    • merge_request.update
    • merge_request.merge
    Setup guide
  • AZ

    Azure DevOps

    Code platforms

    Azure Repos and Azure Boards: repositories, work items and pull requests.

    Source controlWork itemsPull requestsAutomation triggers
    Trigger events (5)
    • workitem.created
    • workitem.updated
    • pull_request.opened
    • pull_request.updated
    • push
    Setup guide
  • GIT

    Local git

    Code platforms

    Repositories on disk, no code platform needed. Runs commit to their own branches for you to review and merge.

    Source controlOffline

Issue tracking

Turn issues into specs and start work when they change.

  • JI

    Jira

    Issue tracking

    Import labeled issues as specs and start work when issues change. Jira Cloud, Server and Data Center.

    IssuesIssue to specAutomation triggers
    Trigger events (2)
    • issue.created
    • issue.updated
    Setup guide
  • GI

    GitHub Issues

    Part of the GitHub integration

    Label an issue to hand it to an agent, or turn it into a spec in one click.

    IssuesIssue to specAutomation triggers
    Setup guide
  • GLI

    GitLab Issues

    Part of the GitLab integration

    Start work from new and updated issues, and draft specs from them.

    IssuesIssue to specAutomation triggers
    Setup guide
  • AB

    Azure Boards

    Part of the Azure DevOps integration

    Start work from new and updated work items, and draft specs from them.

    Work itemsIssue to specAutomation triggers
    Setup guide

Coding agents

The agent that does the work. Pick one per agent, switch any time.

  • OC

    OpenCode

    Coding agents

    An agentic coder that reads, edits and runs commands in the checkout, in its own container per run, on any model.

    AgenticAny model
  • CA

    Claude Agent SDK

    Agent SDK worker

    Run Anthropic's agent SDK and CLI as a Structrl agent, inside the same harness and sandbox.

    AgenticAgent SDK
  • CX

    Codex CLI

    Agent SDK worker

    Run OpenAI's coding CLI as a Structrl agent, inside the same harness and sandbox.

    AgenticAgent CLI
  • SDK

    Your own agent

    Agent SDK worker

    Any agent SDK or CLI that edits a repository. Adding one is configuration, not code.

    Agent SDKAgent CLI
  • MW

    Built-in model worker

    Coding agents

    One model request that proposes file edits. Light and fast, for small, well-specified changes and small local models.

    Built inAny model

AI models

Bring your own keys, or run models on your own hardware.

  • OR

    OpenRouter

    AI models

    Hundreds of models from every major lab behind one API key, including Claude, GPT, Gemini, Llama, Mistral, DeepSeek and Qwen.

    Bring your own keyCloud models
  • API

    OpenAI-compatible API

    AI models

    Any endpoint that speaks the OpenAI API, in the cloud or in your own network.

    Bring your own keySelf-hosted models
  • AO

    Azure OpenAI

    OpenAI-compatible API

    Models deployed in your own Azure subscription and region.

    Bring your own keyCloud models
  • OA

    OpenAI

    OpenAI-compatible API

    GPT models straight from OpenAI with your own API key.

    Bring your own keyCloud models
  • OL

    Ollama

    OpenAI-compatible API

    Open models on your own machine or GPU server. Works fully offline.

    Local modelsOffline
  • LM

    LM Studio

    OpenAI-compatible API

    Run open models on your desktop and point Structrl at its local server.

    Local modelsOffline
  • VL

    vLLM

    OpenAI-compatible API

    High-throughput serving for open models on your own GPU cluster.

    Self-hosted modelsOffline

Agent tools

Give agents the tools and context your team already uses.

  • MCP

    MCP servers

    Agent tools

    Connect any Model Context Protocol server over Streamable HTTP or SSE. Its tools become actions for agents and workflows.

    Agent actionsWorkflow actions
    Setup guide
  • CLI

    structrl CLI

    Agent tools

    Start and follow runs from CI, scripts or your terminal, signed in with an access token.

    AutomationCI/CD
    Setup guide
  • KN

    Knowledge

    Agent tools

    Architecture decisions, conventions and docs that agents draw context from on every run.

    Agent context

Spec formats

Keep writing requirements the way you already do.

  • ST

    Structrl specs

    Spec formats

    Markdown specs with acceptance criteria in .structrl/specs, versioned with your code.

    Native
  • SK

    GitHub Spec Kit

    Spec formats

    Spec Kit specs (specs/NNN-name/spec.md), read as they are.

    Import
  • KI

    Kiro specs

    Spec formats

    Kiro requirements (.kiro/specs/name/requirements.md), read as they are.

    Import

Not in the list?

It probably works already.

Structrl is built on open standards, so most tools connect without waiting for us.

Any OpenAI-compatible model

Cloud provider, internal gateway or a GPU under your desk: if it speaks the OpenAI API, it works.

Any MCP server

Give agents new tools, from your error tracker to your database, through the Model Context Protocol.

The structrl CLI

Start and follow runs from your CI, scripts or a terminal, signed in with an access token.

Read the docsRequest an integrationSee integrations in the live demo

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